Fuzzy Multiple Objective Decision Making

Fuzzy Multiple Objective Decision Making

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Multi-objective programming (MOP) can simultaneously optimize multi-objectives in mathematical programming models, but the optimization of multi-objectives triggers the issue of Pareto solutions and complicates the derived answers. To address these problems, researchers often incorporate the concepts of fuzzy sets and evolutionary algorithms into MOP models. Focusing on the methodologies and applications of this field, Fuzzy Multiple Objective Decision Making presents mathematical tools for complex decision making. The first part of the book introduces the most popular methods used to calculate the solution of MOP in the field of multiple objective decision making (MODM). The authors describe multi-objective evolutionary algorithms; expand de novo programming to changeable spaces, such as decision and objective spaces; and cover network data envelopment analysis. The second part focuses on various applications, giving readers a practical, in-depth understanding of MODM. A follow-up to the authorsa€™ Multiple Attribute Decision Making: Methods and Applications, this book guides practitioners in using MODM methods to make effective decisions. It also extends studentsa€™ knowledge of the methods and provides researchers with the foundation to publish papers in operations research and management science journals.roulette wheel fitness computation Stop evaluation FIGURE N2.1 General structure for genetic algorithm. 5. Cat swarm optimization ... Parallel cat swarm optimization (PCSO) BASIC CONCEPTS OF GENETIC ALGORITHMS Figure N2. 1 depicts genetic algorithms. Interested readers ... Web sources: http://www.iitk.ac .in/kangal/codes.shtml http://www.downloadplex.com/Scripts/Matlab/ Development-Tools/anbsp;...

Title:Fuzzy Multiple Objective Decision Making
Author: Gwo-Hshiung Tzeng, Jih-Jeng Huang
Publisher:CRC Press - 2013-08-09

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